Proceedings :: International Society of Precision Agriculture

Proceedings

Find matching any: Reset

Rabe, N

Roberson, G

» Add more authors

Add filter to result:

Authors

Saifuzzaman, M

Adamchuk, V.I

Huang, H

Ji, W

Rabe, N

Biswas, A

Ward, J

Roberson, G

Phillips, R

Topics

Big Data, Data Mining and Deep Learning

Applications of Unmanned Aerial Systems

Type

Oral

Year

2018

Home » Authors » Results

Authors

Filter results2 paper(s) found.
1. Data Clustering Tools for Understanding Spatial Heterogeneity in Crop Production by Integrating Proximal Soil Sensing and Remote Sensing Data Remote sensing (RS) and proximal soil sensing (PSS) technologies offer an advanced array of methods for obtaining soil property information and determining soil variability for precision agriculture. A large amount of data collected using these sensors may provide essential information for precision or site-specific management in a production field. In this paper, we introduced a new clustering technique was introduced and compared with existing clustering tools for determining relatively homogeneous... M. Saifuzzaman, V.I. Adamchuk, H. Huang, W. Ji, N. Rabe, A. Biswas Download paper
2. Late Season Imagery for Harvest Management The overall objective of this project was to preliminarily assess the use of UAV-based thermal imagery to sense harvest-related factors. Results suggested that thermal imagery can be used to detect areas of high grain moisture content late in the harvest season. Time periods closer to physiological maturity were less likely to show significant differences in thermal imagery data. Additional research is needed to determine if moisture content trends with other measurable quantities... J. Ward, G. Roberson, R. Phillips Download paper

Filter results2 paper(s) found.

1. Data Clustering Tools for Understanding Spatial Heterogeneity in Crop Production by Integrating Proximal Soil Sensing and Remote Sensing Data

Remote sensing (RS) and proximal soil sensing (PSS) technologies offer an advanced array of methods for obtaining soil property information and determining soil variability for precision agriculture. A large amount of data collected using these sensors may provide essential information for precision or site-specific management in a production field. In this paper, we introduced a new clustering technique was introduced and compared with existing clustering tools for determining relatively homogeneous... M. Saifuzzaman, V.I. Adamchuk, H. Huang, W. Ji, N. Rabe, A. Biswas

Download paper

2. Late Season Imagery for Harvest Management

The overall objective of this project was to preliminarily assess the use of UAV-based thermal imagery to sense harvest-related factors. Results suggested that thermal imagery can be used to detect areas of high grain moisture content late in the harvest season. Time periods closer to physiological maturity were less likely to show significant differences in thermal imagery data. Additional research is needed to determine if moisture content trends with other measurable quantities... J. Ward, G. Roberson, R. Phillips

Download paper